MACHINE LEARNING - BASED FALL DETECTION SYSTEMS FOR ELDERLY CARE USING IOT SENSORS
Remote Revolutions
Aug 2025 - Sep 2025 (2 months)
This project aims to develop an intelligent fall detection system tailored for elderly individuals, leveraging IoT (Internet of Things) sensors and machine learning algorithms to ensure real-time monitoring and emergency response. By using wearable sensors (such as accelerometers and gyroscopes), the system continuously collects motion data. Machine learning models are trained to differentiate between normal daily activities and fall events based on patterns in the data. Upon detecting a fall, the system sends an automatic alert to caregivers or medical professionals via a connected network (e.g., mobile app or cloud platform).